Machine Learning

Articles published in this theme: 2329 (scroll down to load remaining articles)

2026

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Predicting End-Stage Renal Disease and Mortality in Chronic Kidney Disease Using Machine Learning: Retrospective Cohort Study

Tz-Heng Chen, Kuan-Hsun Lin, Yang Ho, Wei-Cheng Tseng, Yuan-Chia Chu, Der-Cherng Tarng

J Med Internet Res 2026 (Jan 26); 14(1):e81152

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Early Immunological Biomarkers for Personalized Treatment Selection in Severe COVID-19: Post Hoc Machine Learning Analysis of a Randomized Clinical Trial

Symeon Savvopoulos, Anastasia Papadopoulou, Georgios Karavalakis, Ioanna Sakellari, Grigorios Georgolopoulos, Christos Argyropoulos, Evangelia Yannaki, Haralampos Hatzikirou

JMIR Med Inform 2026 (Jun 04); 14:e78471

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Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study

Daina Baublyte, Jeonghee Lee, Madhawa Gunathilake, Jeongseon Kim

JMIR Med Inform 2026 (Jun 04); 14:e78931

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Personalized Type 1 Diabetes Management: Reinforcement Learning–Based Insulin Dosing and Glucose Forecasting

Ernest M Taku, Vibhuti Gupta, Ashutosh Singhal

JMIR Diabetes 2026 (Jun 03); 11:e79195

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Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study

Yuichiro Yano, Hiroaki Kakizaki, Hajime Nagasu, Seiji Kishi, Takeo Koshida, Yoshihito Nihei, Akira Hirano, Masaomi Nangaku, Hirotake Mori, Toshio Naito, Mizuki Ohashi, Shoichi Maruyama, Isao Matsui, Yoshitaka Isaka, Hirokazu Okada, Yusuke Suzuki, Naoki Kashihara

JMIR Form Res 2026 (Jun 03); 10:e89726

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Development and Interpretability Analysis of a Stacking Ensemble Model for Early Prediction of Nutritional Risk in Intensive Care Unit Patients: Retrospective Cohort Study

Xu Zhang, An Fang, Pei Lou, Kuanda Yao, Tianci Huang, Jiahui Hu

JMIR Med Inform 2026 (Jun 03); 14:e77872

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Novel Online Platform for Trauma Care—Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study

Jotaro Tachino, Shigeto Seno, Hisatake Matsumoto, Tetsuhisa Kitamura, Shunichiro Nakao, Hiroshi Ogura, Jun Oda

JMIR Med Inform 2026 (Jun 02); 14:e90011

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Use of the Dynamic Systems Development Method to Inform Technology-Assisted Motivational Interviewing (TAMI) for Tobacco Cessation: Qualitative Study

Brian Borsari, Joannalyn Delacruz, Ahson Saiyed, John Layton, Karla D Llanes, Isaac A Mirzadegan, Jing Cheng, Anita S Hargrave-Bouagnon, Meredith C Meacham, Delwyn Catley, Jason Satterfield

JMIR Form Res 2026 (Jun 02); 10:e88125

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Preliminary Evaluation of a Large Language Model–Powered Chatbot for Osteoporosis Self-Management Education: Formative Randomized Controlled Trial

Jinling Huang, Xiaolian Xin, Chunyan He, Haoyan Xiong, Wenjun Pang, Shaobo Pang, Wei Sun, Xianghua Ding

JMIR Form Res 2026 (Jun 02); 10:e85475

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Detection of Self-Harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological Study

Andrey Kormilitzin, Dan W Joyce, Apostolos Tsiachristas, Rohan Borschmann, Navneet Kapur, Galit Geulayov

JMIR Ment Health 2026 (Jun 02); 13:e87586

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Depression-Related Nutritional Risk and Physical Performance in Middle- to Older-Aged Adults: Cross-Sectional Secondary Analysis of Tree-Based and Regression Approaches

Yi-Chen Wu, Shu-Fen Shen, Fong-Ping Tang, Chia-Te Chen, Liang-Kung Chen, Kuan-Yu Peng, Heng-Hsin Tung

JMIR Med Inform 2026 (Jun 01); 14:e94510

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Improving Vancomycin Therapeutic Drug Monitoring With a Deep Learning–Based Two-Compartment Predictive Model: Development and Validation Study

Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

JMIR AI 2026 (Jun 01); 5:e81103

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Estimating a Physiological Lung Function Score and Biological Sex Using Pulmonary Function Tests and Machine Learning: Retrospective Study

Patrick W Johnson, Zachary S Quicksall, Jieun Lee, Augustine S Lee, Kaiser G Lim, Victor E Ortega, Shivaram Poigai Arunachalam, Scott A Helgeson

JMIR AI 2026 (Jun 01); 5:e89060

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Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning

Amanda M Y Chu, Benson S Y Lam, Jenny T Y Tsang, Agnes Tiwari, Jacky N L Chan, Mike K P So

JMIR Biomed Eng 2026 (May 29); 11:e91138

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Machine Learning–Based Prediction Model for 30-Day Emergency Department Revisits in a Medically Underserved Tertiary Hospital: Formative Retrospective Cohort Study

Kyongmin Sun

JMIR Form Res 2026 (May 29); 10:e87289

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Adaptive Fast-Slow Large Language Model Framework for Multidimensional Classification of Prenatal Ultrasound Reports: Comparative Study

Wei Zhong, Huihui Yan, Yifan Liu, Yan Liu, Kai Yang, Huimin Gao, Zhengyang Yao, Wenjing Hao, Yousheng Yan, Chenghong Yin

J Med Internet Res 2026 (May 28); 28:e91399

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Usability and Usefulness of Machine Learning–Based Clinical Decision Support Software in Primary Care: Survey of Users in a Prospective Observational Study

Willem Ernst Herter, Janine Khuc, Tobias N Bonten, Robert A Verheij, Mattijs E Numans, Niels H Chavannes

JMIR Med Inform 2026 (May 27); 14:e80527

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Multimodal GPT-5 for Predicting Poor Functional Outcomes After Intracerebral Hemorrhage in the Emergency Department: Validation Study

Koutarou Matsumoto, Kazuaki Ishihara, Ryota Tamba, Yusuke Fujiyoshi, Koki Tokunaga, Katsuhiko Matsuda, Yasunobu Nohara, Jenhui Chen, Shigeo Yamashiro, Naoki Nakashima, Masahiro Kamouchi

JMIR AI 2026 (May 27); 5:e87062

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Multimodal Prediction of Renal Tumor Malignancy From Radiology Reports and Structured Electronic Health Records: Retrospective Cohort Study

Zhengkang Fan, Renjie Liang, Chengkun Sun, Jinqian Pan, Russell Terry, Jie Xu

JMIR Med Inform 2026 (May 27); 14:e84396

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An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study

Marion Eckert, Greg Sharplin, Wolfgang Mayer, Georg Grossmann, Jan Stanek, Gourav Gupta, Lachlan Darch, Markus Stumptner, Nicholas Marlow

JMIR Res Protoc 2026 (May 27); 15:e75474

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